Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Accuracy | 2 |
| Classification | 2 |
| Item Response Theory | 2 |
| Reliability | 2 |
| Test Format | 2 |
| Advanced Placement Programs | 1 |
| Comparative Analysis | 1 |
| Computation | 1 |
| Cutting Scores | 1 |
| Error of Measurement | 1 |
| Methods | 1 |
| More ▼ | |
Author
| Kim, Stella Y. | 2 |
| Lee, Won-Chan | 2 |
| Choi, Jiwon | 1 |
| Kang, Yujin | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Advanced Placement… | 1 |
What Works Clearinghouse Rating
Lee, Won-Chan; Kim, Stella Y.; Choi, Jiwon; Kang, Yujin – Journal of Educational Measurement, 2020
This article considers psychometric properties of composite raw scores and transformed scale scores on mixed-format tests that consist of a mixture of multiple-choice and free-response items. Test scores on several mixed-format tests are evaluated with respect to conditional and overall standard errors of measurement, score reliability, and…
Descriptors: Raw Scores, Item Response Theory, Test Format, Multiple Choice Tests
Kim, Stella Y.; Lee, Won-Chan – Applied Measurement in Education, 2019
This study explores classification consistency and accuracy for mixed-format tests using real and simulated data. In particular, the current study compares six methods of estimating classification consistency and accuracy for seven mixed-format tests. The relative performance of the estimation methods is evaluated using simulated data. Study…
Descriptors: Classification, Reliability, Accuracy, Test Format

Peer reviewed
Direct link
